Prediction model for thyrotoxic atrial fibrillation: a retrospective study.

Journal: BMC endocrine disorders
PMID: 34246271

Abstract

BACKGROUND: Thyrotoxic atrial fibrillation (TAF) is a recognized significant complication of hyperthyroidism. Early identification of the individuals predisposed to TAF would improve thyrotoxic patients' management. However, to our knowledge, an instrument that establishes an individual risk of the condition is unavailable. Therefore, the aim of this study is to build a TAF prediction model and rank TAF predictors in order of importance using machine learning techniques.

Authors

  • Daria Aleksandrovna Ponomartseva
    Almazov National Medical Research Centre, Institute of Endocrinology, 15 Parkhomenko street, St. Petersburg, 194156, Russia. savitskayadaria@gmail.com.
  • Ilia Vladislavovich Derevitskii
    ITMO University, 9 Lomonosova street, Saint Petersburg, 191002, Russia.
  • Sergey Valerevich Kovalchuk
    ITMO University, 9 Lomonosova street, Saint Petersburg, 191002, Russia.
  • Alina Yurevna Babenko
    Almazov National Medical Research Centre, Institute of Endocrinology, 15 Parkhomenko street, St. Petersburg, 194156, Russia.

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